Evidence map›Paper›PMID 40947496›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging

Multivariate Pattern Analysis of Perfusion and Oxygenation Impairment in Asymptomatic Carotid Artery Stenosis.

Jan Kufer, Christine Preibisch, Jens Göttler, Lena Schmitzer, Gabriel Hoffmann, Michael Kallmayer, Claus Zimmer, Fahmeed Hyder, Stephan Kaczmarz

Abstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Multivariate Pattern Analysis of Perfusion and Oxygenation Impairment in Asymptomatic Carotid Artery Stenosis.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jan KuferDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts Der Isar, Technical University of Munich (TUM), Munich, Germany.ORCID https://orcid.org/0000-0002-7923-3231
Christine PreibischDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts Der Isar, Technical University of Munich (TUM), Munich, Germany.
Jens GöttlerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts Der Isar, Technical University of Munich (TUM), Munich, Germany.
Lena SchmitzerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts Der Isar, Technical University of Munich (TUM), Munich, Germany.
Gabriel HoffmannDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts Der Isar, Technical University of Munich (TUM), Munich, Germany.ORCID https://orcid.org/0000-0002-5233-7532
Michael KallmayerDepartment of Vascular and Endovascular Surgery, School of Medicine and Health, TUM Klinikum Rechts Der Isar, Technical University of Munich (TUM), Munich, Germany.
Claus ZimmerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts Der Isar, Technical University of Munich (TUM), Munich, Germany.
Fahmeed HyderMagnetic Resonance Research Center (MRRC), Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut, USA.
Stephan KaczmarzDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts Der Isar, Technical University of Munich (TUM), Munich, Germany.

Funding

Deutsche Forschungsgemeinschaft 395030489Deutsche Forschungsgemeinschaft 547163214Deutsche Forschungsgemeinschaft PR1039/6-1Else Kröner-Fresenius-Stiftung 2014_Promotionskolleg.20Faculty of Medicine, Munich University of Technology KKFE12German Academic Exchange Service (DAAD)Leonhard-Lorenz-Stiftung 915/15Leonhard-Lorenz-Stiftung 971/19Leonhard-Lorenz-Stiftung 979/20NIH HHS R01AG-084681NIH HHS R01MH-067528NIH HHS R01MH-129371NIH HHS R56AG-079086
6 · The paper itself

Abstract

background and purposeHemodynamic impairment may contribute to stroke risk and cognitive decline in asymptomatic internal carotid artery stenosis (ICAS). Therefore, multimodal MRI-based quantification of hemodynamic impairment could inform improved treatment decisions. While gross interhemispheric hemodynamic imbalances have been reported in ICAS, identifying more spatially resolved patterns of disease-related alterations may be promising to harness the full potential of hemodynamic MRI.

methodsIn this feasibility study, we investigated the spatial topography of ICAS-related impairments by applying scaled subprofile model principal component analysis (SSM-PCA) to cerebral blood flow (CBF), relative oxygen extraction fraction (rOEF), and oxygen extraction capacity (OEF

resultsWe found spatially extended, partly overlapping disease-related patterns for CBF and OEF

conclusionsWe demonstrated the feasibility of SSM-PCA in ICAS and obtained novel insights into complex hemodynamic impairment patterns and their association with cognitive function.

Indexed as

Carotid StenosisCerebrovascular CirculationMagnetic Resonance ImagingOxygenAgedFeasibility StudiesFemaleHemodynamicsHumansMaleMiddle AgedMultivariate AnalysisPrincipal Component AnalysisOxygenarterial spin labelingasymptomatic internal carotid artery stenosiscerebral blood flowmagnetic resonance imagingoxygen extraction fractionscaled subprofile model principal component analysis

Identifiers

PMID40947496
PMCPMC12434150

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.